Software

FZJ-2026-01326

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning

Rubin, N. ; Fischer, K. (Corresponding author)FZJ* ; Lindner, J.FZJ* ; Dahmen, D.FZJ* ; Seroussi, I. ; Ringel, Z. ; Krämer, M. ; Helias, M.FZJ*

2025

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Please use a persistent id in citations: doi:10.5281/ZENODO.15480898

Abstract: Code for From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning This repository contains the code accompanying the paper: Rubin, N., Fischer, K., Lindner, J., Dahmen, D., Seroussi, I., Ringel, Z., Krämer, M., Helias, M. From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning (arxiv 2502.03210). For any questions, please contact Noa Rubin (noa.rubin@mail.huji.ac.il), Kirsten Fischer (ki.fischer@fz-juelich.de) or Javed Lindner (javed.lindner@rwth-aachen.de).

Keyword(s): feature learning ; kernel adaptation ; Bayesian inference ; field theory ; deep neural networks ; kernel rescaling

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Contributing Institute(s):

1. Computational and Systems Neuroscience (IAS-6)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. 5232 - Computational Principles (POF4-523) (POF4-523)
3. GRK 2416 - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung neuronaler multisensorischer Integration (368482240) (368482240)

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